回答編集履歴
2
補足追加
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@@ -95,3 +95,23 @@
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#4 2020-03-05T00:00:00+09:00 5
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```
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---
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**【更に追記】**
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105
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タイムゾーンの設定はこちらの方法でもいけた（１行の短縮）
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```Python
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df = pd.read_csv(io.StringIO(data), parse_dates=['date'])
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# tzを設定してdate列をISO8601拡張表記の文字列に変換
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df['date'] = df['date'].apply(lambda d: pd.Timestamp(d, tz='Asia/Tokyo').isoformat())
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```
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1
回答が間違っていたので修正
test
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1
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-
```
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1
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```Python
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2
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import pandas as pd
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```
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---
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**【追記】**
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あっゴメン。`Timestamp.isoformat()` を使いたいのですね。
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であれば、
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```Python
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df = pd.read_csv(io.StringIO(data), parse_dates=['date'])
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# date列にタイムゾーンを設定
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df['date'] = df['date'].dt.tz_localize('Asia/Tokyo')
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# date列をISO8601拡張表記の文字列に変換
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df['date'] = df['date'].apply(lambda d: pd.Timestamp(d).isoformat())
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print(df)
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# date value
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#0 2020-03-01T00:00:00+09:00 1
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#1 2020-03-02T00:00:00+09:00 2
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#2 2020-03-03T00:00:00+09:00 3
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#3 2020-03-04T00:00:00+09:00 4
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#4 2020-03-05T00:00:00+09:00 5
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```
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